Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
other_beers is a beverage	1111	06-jul-2018	92.4
arm__expo_nz_anime_con is a convention	1111	06-jul-2018	99.8
coppa_agostoni_giro_della_brianza is a sports race	1111	06-jul-2018	100.0
kid_scissors is an office supply	1113	15-aug-2018	94.0
executive_chairs is a household item	1111	06-jul-2018	100.0
tv_actors is a generalization of lisa_kudrow	1116	12-sep-2018	100.0
michael_ryder is an athlete that flied out to position center	1111	06-jul-2018	100.0
myfortic is a drug having the side effect side_effects	1114	25-aug-2018	93.8
national is a company that has an office in the country greece	1114	25-aug-2018	100.0
gary_morton has spouse ball	1116	12-sep-2018	93.8